I’ve continued my journey in the Machine Learning Zoomcamp by Alexey Grigorev — and just wrapped up Section 6: Decision Trees & Ensemble Learning 🌲⚡

This module was all about boosting model performance using powerful tree-based methods — from simple splits to complex ensembles.

Here’s what I worked on this week:
1️⃣ Decision Trees 🌳
2️⃣ Random Forests 🌲
3️⃣ Gradient Boosting (XGBoost) 🚀
4️⃣ Hyperparameter tuning 🔧
5️⃣ Feature importance insights 💡

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